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Prevalence, risk factors, and perceptions of vaccination against reproductive tract infections among urban females in Delhi: a cross-sectional study.

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Comparable immunogenicity from murine blood collection methods in intranasal gonococcal vaccination with ACP and MtrE supports refinement of preclinical vaccine studies.

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Correction: Protection against <i>N. gonorrhoeae</i> induced by OMV-based meningococcal vaccines are associated with cross-species directed humoral and cellular immune responses.

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Evaluation of Immunization Route in Induction of Vaccine-Mediated Anti-Gonococcal Immune Responses in a Murine Model of Ascending Infection.

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Proteomics, Bioinformatics and Structure-Function Antigen Mining For Gonorrhea Vaccines.

Benjamin I Baarda1, Fabian G Martinez1, Aleksandra E Sikora1,2

  • 1Department of Pharmaceutical Sciences, College of Pharmacy, Oregon State University, Corvallis, OR, United States.

Frontiers in Immunology
|December 20, 2018
PubMed
Summary
This summary is machine-generated.

Developing new gonorrhea vaccines is crucial due to severe health risks and potential untreatable infections. This study uses advanced proteomic and bioinformatics approaches to identify promising vaccine candidates against Neisseria gonorrhoeae.

Keywords:
Neisseria gonorrhoeaeantigenbioinformaticsmembrane vesiclesprotein structure-functionproteomicsreverse vaccinologyvaccine

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Area of Science:

  • Microbiology
  • Vaccinology
  • Bioinformatics

Background:

  • Gonorrhea poses significant health risks and the emergence of untreatable strains necessitates urgent vaccine development.
  • Reverse vaccinology has emerged as a powerful strategy for identifying vaccine candidates against bacterial pathogens.

Purpose of the Study:

  • To apply comprehensive proteomic and immunoproteomic techniques, integrated with bioinformatics, for antigen discovery in Neisseria gonorrhoeae.
  • To outline a decision-making framework for selecting gonorrhea vaccine candidates.
  • To investigate the structure-function relationships and cellular roles of novel antigens.

Main Methods:

  • Utilized comprehensive and quantitative proteomic platforms for deep antigen profiling.
  • Employed immunoproteomics to identify antigens recognized by the host immune system.
  • Applied extensive bioinformatics analysis for antigen mining and selection.
  • Characterized the structure-function of identified antigens and their localization within the bacterial cell envelope.

Main Results:

  • Successfully identified and characterized novel proteome-derived antigens with potential as gonorrhea vaccine candidates.
  • Gained new insights into the biology of Neisseria gonorrhoeae, particularly concerning its cell envelope.
  • Established a systematic approach for gonorrhea vaccine candidate selection.

Conclusions:

  • Proteomic and bioinformatics strategies are effective for discovering gonorrhea vaccine candidates.
  • Further research into novel antigens and Neisseria gonorrhoeae biology is essential for developing preventive vaccines.
  • The findings contribute to the critical effort to combat gonorrhea and its health consequences.